Hi professor, here is 2 exercises. There are 2 excel dataset and 2 results in SPSS. I'm not sure how to explain them and answer the questions. Please help me with them thanks!!!

Data Sets: 1) Purchase Rating: A market research firm used a sample of individuals to rate the purchase potential of a particular product before and after the individual saw a new television commercial about the product. The purchase potential ratings were based on a 0 to 10 scale, with higher values indicating a higher purchase potential. The dataset Purchase Rating has the information of a sample of 8 individuals.~ Description of the variables Individual: it is a control number to identify each individual response. After: purchase rating after watching the television commercial Before: purchase rating before watching the television commercial 2) AirRelay: Researchers at Purdue University and Wichita State University found that airlines are doing a better job of getting passengers to their destinations on time. AirTran Airways and Southwest Airlines were among the leaders in on-time arrivals, with both having 88% on their flights arriving on time. But for the 12% of flights that were delayed, the dataset named AirDelay contains this information. Description of the variables AirTran: delay time in minutes among AirTran flights Southwest: delay time in minutes among Southwest flights Exercise 1. Purchase Rating a) To show that the television commercial was effective in improving the mean purchase potential rating, identifying Ho and Ha for testing the difference between two mean. ~ L b) Identify the appropriate t-test. Explain your selection. c) Conduct the test using an a = .05.~ d) Interpret your results in the context of this problem.~ Exercise 2. AirRelay I. Formulate the hypotheses that can be used to test for a difference between the population mean minutes late for delayed flights by these two airlines. II. Identify the appropriate t-test. Explain your selection. III. Conduct the test using an a = .05.~ IV. Interpret your results in the context of this problem.TTest [DataSetl] Paired Samples Statistics Std. Std. Error Mean N Deviation Mean Pair 1 Before 5.38 8 1.598 .565 After 6.00 8 1.852 .655 Paired Samples Correlations N Correlation Sig. Pair 1 Before & After 8 .724 .042 Paired Samples Test Paired Differences 95% Condence Interval of Std. Std. Error the Difference Sig. (2 Mean Deviation Mean Lower Upper t df tailed) Pair 1 Before After .625 1.302 .460 -1.714 .464 1.357 .217 Paired Samples Effect Sizes Standard izera Point 95% Condence Interval Estimate Lower Upper Pair 1 Before After Cohen's d 1.302 -.480 1.201 .270 Hedges' correction 1.378 .454 1.135 .256 a. The denominator used in estimating the effect sizes. Cohen's d uses the sample standard deviation of the mean difference. Hedges' correction uses the sample standard deviation of the mean difference, plus a correction factor. Group Statistics Std. Std. Error Airline N Mean Deviation Mean Delay 1 25 50.60 26.566 5.313 2 20 52.80 20.109 4.497 Independent Samples Test Levene's Test for Equality of Variances ttest for Equality of Means 95% Condence Interval of Sig. (2 Mean Std. Error the Difference F Sig. t df tailed) Difference Difference Lower Upper Delay Equal variances 1.563 .218 .306 43 .761 2.200 7.179 16.677 12.277 assumed Equal variances not .316 42.895 .753 2.200 6.961 16.238 11.838 assumed Independent Samples Effect Sizes Standardizera Point 95% Condence Interval Estimate Lower Upper Delay Cohen's d 23.929 .O92 .680 .497 Hedges' correction 24.356 .090 .668 .488 Glass's delta 20.109 .109 .697 .481 a. The denominator used in estimating the effect sizes. Cohen's d uses the pooled standard deviation. Hedges' correction uses the pooled standard deviation, plus a correction factor. Glass's delta uses the sample standard deviation of the control group. A B C D E F G H J 1 Individual K After L Before M N 6 5 DO J a UI A W N a vowA 25 26 27